Consultant Specialist

HSBC
Shenzhen
Full timeFunction: QA, Test & Release EngineeringSkills: ["Quality engineering","Analysis","Risk assessment","Collaboration","Automation mindset"]

Own and drive function/auto/performance testing for AI platform services, including benchmarking, scalability and endurance testing, and bottleneck analysis. Define baselines, quality gates, and release readiness criteria, and build automation frameworks for API, service, integration, regression, and performance testing. Analyze results to improve reliability and scalability, set testing standards and governance, and support validation for new AI capabilities like LLM services and retrieval/search integrations.

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FursaFursa
HSBC
HSBC
2 days ago

Consultant Specialist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Own and drive function/auto/performance testing for AI platform services, including benchmarking, scalability and endurance testing, and bottleneck analysis. Define baselines, quality gates, and release readiness criteria, and build automation frameworks for API, service, integration, regression, and performance testing. Analyze results to improve reliability and scalability, set testing standards and governance, and support validation for new AI capabilities like LLM services and retrieval/search integrations.
Location: Shenzhen
Employment Type: Full time
Job Function: QA, Test & Release Engineering
Seniority: Mid level

Key Responsibilities

  • •Own and drive the function and performance testing plan for AI platform services, including benchmarking, capacity validation, scalability and endurance testing, and bottleneck analysis.
  • •Define, maintain, and continuously improve performance baselines, quality gates, and release readiness criteria.
  • •Design and implement robust automation frameworks for API, service, integration, regression, and performance testing.
  • •Analyze performance test results to identify system constraints and provide actionable recommendations to improve platform reliability and scalability.
  • •Establish testing standards, reusable frameworks, best practices, and governance for AI platform quality engineering, and support validation for new AI platform capabilities and release risk assessments.

Key Requirements

  • •Strong QA engineering and performance testing experience on enterprise-scale platforms or complex distributed systems.
  • •Proven hands-on performance testing tools such as AutoCannon, JMeter, Gatling, Locust, k6, LoadRunner or similar.
  • •Strong test automation experience using JavaScript/TypeScript, Java, Python or similar languages.
  • •Experience designing performance test scenarios, workload models, SLAs/SLOs, throughput targets, latency metrics, and capacity benchmarks.
  • •AI-native mindset with experience using coding assistants (e.g., AI pair-programming tools) to improve productivity and code quality.
Experience:AI/MLLLMGenAIEnterprise platformsDistributed systems
Skills:Quality engineeringAnalysisRisk assessmentCollaborationAutomation mindset
Certifications:ISTQB
Tech Stack:AutoCannonJMeterGatlingLocustK6LoadRunnerJavaScriptTypeScriptJavaPythonAPIService testingIntegration testingRegression testingPerformance testingLLM servicesModel-serving APIsOrchestration servicesRetrieval/searchRAG pipelines

Company Brief

HSBC
Global banking and financial services organisation offering retail, commercial, corporate and investment banking, wealth management, and global markets services across Europe, Asia, the Americas and the Middle East.
Industry: Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 1865
Glassdoor
Glassdoor: 3.6
WebsiteLinkedIn